BioinformaticsBioinformaticsPeer-reviewed journal article
PATO: Pangenome Analysis Toolkit
Miguel D. Fernández-de-BobadillaiD, Alba Talavera-RodrígueziD, Lucía Chacón, Fernando BaqueroiD, Teresa M. CoqueiD, Val F. LanzaiD
Abstract
MotivationComparative genomics is a growing field but one that will be eventually overtaken by sample size studies and the increase of available genomes in public databases. We present the Pangenome Analysis Toolkit (PATO) designed to simultaneously analyze thousands of genomes using a desktop computer. The tool performs common tasks of pangenome analysis such as core-genome definition and accessory genome properties and includes new features that help characterize population structure, annotate pathogenic features and create gene sharedness networks. PATO has been developed in R to integrate with the large set of tools available for genetic, phylogenetic and statistical analysis in this environment. ResultsPATO can perform the most demanding bioinformatic analyses in minutes with an accuracy comparable to state-of-the-art software but 20-30x times faster. PATO also integrates all the necessary functions for the complete analysis of the most common objectives in microbiology studies. Lastly, PATO includes the necessary tools for visualizing the results and can be integrated with other analytical packages available in R. AvailabilityThe source code for PATO is freely available at https://github.com/irycisBioinfo/PATO under the GPLv3 license. Contactval.fernandez@salud.madrid.org Supplementary informationSupplementary data are available at Bioinformatics online
- assay: whole-genome sequencing
- research focus: benchmarking
- research focus: database / resource
- research focus: software / tool
- approach: statistical model
- Citations
- 27
- FWCI
- 1.25
- Field percentile
- top 21%
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